The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 279

Traffic Metrics Systems Strategy 279

Percona

NOVEMBER 9, 2023

Applications can be horizontally scaled with Kubernetes by adding or deleting containers based on resource allocation and incoming traffic demands. It distributes the load among containers and nodes automatically, ensuring that your application can handle any spike in traffic without the need for manual intervention from an IT staff.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

Dynatrace

JUNE 9, 2021

Examples range from online banking to personal entertainment delivery and e-commerce. Especially as software development continually evolves using microservices, containerized architecture, distributed multicloud platforms, and open-source code. What is web application security? And open-source software is rife with vulnerabilities.

Open Source 182

Open Source Entertainment Tuning Internet 182

The Netflix TechBlog

FEBRUARY 9, 2021

entertainment?—?and We can leverage high performance VMs in AWS to generate the assets. However, it would be cost-inefficient to leverage this same hardware for lightweight and more consistent traffic patterns that an asset management service requires. Here’s what the final architecture looked like.

Engineering 165

Engineering Storage Latency Entertainment 165

The Netflix TechBlog

NOVEMBER 12, 2019

Every aspect is personalized With systems driven by machine learning, it is important to measure the overall system-level impact of changes to a model, not just the local impact on the model performance itself. In Machine Learning, offline metrics are often used to measure the performance of model changes on historical data.

Metrics 124

Metrics Government Systems Testing 124

The Netflix TechBlog

NOVEMBER 12, 2019

Every aspect is personalized With systems driven by machine learning, it is important to measure the overall system-level impact of changes to a model, not just the local impact on the model performance itself. In Machine Learning, offline metrics are often used to measure the performance of model changes on historical data.

Metrics 100

Metrics Government Systems Testing 100

The Netflix TechBlog

NOVEMBER 12, 2019

Every aspect is personalized With systems driven by machine learning, it is important to measure the overall system-level impact of changes to a model, not just the local impact on the model performance itself. In Machine Learning, offline metrics are often used to measure the performance of model changes on historical data.

Metrics 100

Metrics Government Systems Testing 100